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221 Publications


2021 | Journal Article | LibreCat-ID: 23431
Cheng, C., Wang, Z., Jin, Z., Ju, X., Schweizer, S., Tröster, T., & Mahnken, R. (2021). Non-linear mean-field modelling of UD composite laminates accounting for average asymmetric plasticity of the matrix, debonding and progressive failure. Composites Part B: Engineering, 224, Article 109209. https://doi.org/10.1016/j.compositesb.2021.109209
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2021 | Journal Article | LibreCat-ID: 27774
Lenz, P., & Mahnken, R. (2021). A general framework for mean-field homogenization of multi-layered linear elastic composites subjected to thermal and curing induced strains. International Journal of Solids and Structures, Article 111266. https://doi.org/10.1016/j.ijsolstr.2021.111266
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2021 | Journal Article | LibreCat-ID: 29088
Ju, X., Mahnken, R., Xu, Y., Liang, L., & Zhou, W. (2021). A nonuniform transformation field analysis for composites with strength difference effects in elastoplasticity. International Journal of Solids and Structures, Article 111103. https://doi.org/10.1016/j.ijsolstr.2021.111103
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2021 | Journal Article | LibreCat-ID: 24376
Henkes, A., Caylak, I., & Mahnken, R. (2021). A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures. Computer Methods in Applied Mechanics and Engineering, Article 114070. https://doi.org/10.1016/j.cma.2021.114070
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2021 | Journal Article | LibreCat-ID: 29085
Cheng, C., & Mahnken, R. (2021). A modified Zerilli–Armstrong model as the asymmetric visco-plastic part of a multi-mechanism model for cutting simulations. Archive of Applied Mechanics, 3869–3888. https://doi.org/10.1007/s00419-021-01982-6
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2021 | Journal Article | LibreCat-ID: 29092
Ju, X., Mahnken, R., Liang, L., & Xu, Y. (2021). Goal-oriented mesh adaptivity for inverse problems in linear micromorphic elasticity. Computers & Structures, Article 106671. https://doi.org/10.1016/j.compstruc.2021.106671
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2021 | Journal Article | LibreCat-ID: 29090
Lenz, P., & Mahnken, R. (2021). Integral‐type non‐local damage simulation of composites using mean‐field homogenization methods. PAMM. https://doi.org/10.1002/pamm.202100081
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2021 | Journal Article | LibreCat-ID: 29091
Henkes, A., Wessels, H., & Mahnken, R. (2021). Physics informed neural networks for continuum micromechanics. PAMM. https://doi.org/10.1002/pamm.202100040
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2020 | Journal Article | LibreCat-ID: 24374
Caylak, I., Penner, E., & Mahnken, R. (2020). Mean-field and full-field homogenization with polymorphic uncertain geometry and material parameters. Computer Methods in Applied Mechanics and Engineering, Article 113439. https://doi.org/10.1016/j.cma.2020.113439
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2019 | Journal Article | LibreCat-ID: 19122
Penner, E., Caylak, I., Dridger, A., & Mahnken, R. (2019). A polynomial chaos expanded hybrid fuzzy-stochastic model for transversely fiber reinforced plastics. Mathematics and Mechanics of Complex Systems, 99–129. https://doi.org/10.2140/memocs.2019.7.99
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 19120
Caylak, I., Penner, E., & Mahnken, R. (2019). A fuzzy uncertainty model for analytical and numerical homogenization of transversely fiber reinforced plastics. PAMM. https://doi.org/10.1002/pamm.201900356
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2019 | Journal Article | LibreCat-ID: 24429
Ju, X., & Mahnken, R. (2019). Model adaptivity on mean‐field and full‐field homogenization methods considering hierarchical unit cells. PAMM. https://doi.org/10.1002/pamm.201900177
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2019 | Journal Article | LibreCat-ID: 19424
Lenz, P., & Mahnken, R. (2019). Damage simulation of fiber reinforced composites using mean‐field homogenization methods. PAMM. https://doi.org/10.1002/pamm.201900370
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2019 | Book | LibreCat-ID: 19326
Mahnken, R. (2019). Lehrbuch der Technischen Mechanik - Band 2: Elastostatik. https://doi.org/10.1007/978-3-662-58166-7
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2018 | Journal Article | LibreCat-ID: 19426
Mahnken, R., Lenz, P., & Dammann, C. (2018). A least squares approach for effective shear properties in an                                                                  $${{\varvec{n}}}$$                                                                            n                                                                    -layered sphere model. Archive of Applied Mechanics, 2081–2099. https://doi.org/10.1007/s00419-018-1431-5
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2018 | Journal Article | LibreCat-ID: 21709
Dammann, C., Mahnken, R., & Lenz, P. (2018). Derivation of an n-layered composite sphere model for thermo-chemo-mechanical effective properties. PAMM, 581–582. https://doi.org/10.1002/pamm.201710260
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2018 | Book Chapter | LibreCat-ID: 24526
Dridger, A., & Mahnken, R. (2018). Unschärfe in der Simulation im Kontext von Sicherheitsdiskursen. In Wissenschaft im Angesicht »großer gesellschaftlicher Herausforderungen«. https://doi.org/10.14361/9783839440995-003
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 24559
Ehlenbröker, U., Petersmann, M., Antretter, T., & Mahnken, R. (2018). Transformation strains for bainitic variant evolution in steel. PAMM, 587–588. https://doi.org/10.1002/pamm.201710263
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 24560
Lenz, P., Dammann, C., & Mahnken, R. (2018). The effective shear modulus for ann-layered composite sphere. PAMM, 609–610. https://doi.org/10.1002/pamm.201710274
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 24428
Cheng, C., & Mahnken, R. (2018). A multi-mechanism model for cutting simulation: A Ginzburg-Landau type phase gradient and numerical implementations. International Journal of Solids and Structures, 1–17. https://doi.org/10.1016/j.ijsolstr.2018.10.007
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